path: "tensorflow.data.experimental.CheckpointInputPipelineHook"
tf_class {
  is_instance: "<class \'tensorflow.python.data.experimental.ops.iterator_ops.CheckpointInputPipelineHook\'>"
  is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
  is_instance: "<type \'object\'>"
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'estimator\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "after_create_session"
    argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "after_run"
    argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "before_run"
    argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "begin"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "end"
    argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
  }
}
